Databases
Fri 07.14.23
Databases
Fri 07.14.23
Fri 07.14.23
Fri 07.14.23
Fri 07.14.23
Fri 07.14.23
scalable algorithms, parallel & distributed data analysis, knowledge representation, database systems, database theory, data integration, data science
scalable algorithms, parallel & distributed data analysis, knowledge representation, database systems, database theory, data integration, data science
scalable algorithms, parallel & distributed data analysis, knowledge representation, database systems, database theory, data integration, data science
scalable algorithms, parallel & distributed data analysis, knowledge representation, database systems, database theory, data integration, data science
Databases are systems that manage large amounts of data. Our database researchers study the algorithmic principles that systems to efficiently manage large amounts of data.
Databases are systems that manage large amounts of data. Our database researchers study the algorithmic principles that systems to efficiently manage large amounts of data.
Databases are systems that manage large amounts of data. Our database researchers study the algorithmic principles that systems to efficiently manage large amounts of data.
Databases are systems that manage large amounts of data. Our database researchers study the algorithmic principles that systems to efficiently manage large amounts of data.
The DATA Lab impacts data integration and curation, as well as large-scale and parallel data-centric computing while making open-source data more usable and accessible. Recent research projects include query visualization, data provenance, data discovery, data lake management, ranking over join queries, and scalable approaches to perform inference over uncertain and networked data.
The DATA Lab impacts data integration and curation, as well as large-scale and parallel data-centric computing while making open-source data more usable and accessible. Recent research projects include query visualization, data provenance, data discovery, data lake management, ranking over join queries, and scalable approaches to perform inference over uncertain and networked data.
The DATA Lab impacts data integration and curation, as well as large-scale and parallel data-centric computing while making open-source data more usable and accessible. Recent research projects include query visualization, data provenance, data discovery, data lake management, ranking over join queries, and scalable approaches to perform inference over uncertain and networked data.
The DATA Lab impacts data integration and curation, as well as large-scale and parallel data-centric computing while making open-source data more usable and accessible. Recent research projects include query visualization, data provenance, data discovery, data lake management, ranking over join queries, and scalable approaches to perform inference over uncertain and networked data.